A MapReduce based distributed LSI for scalable information retrieval See

Latent Semantic Indexing (LSI) has been widely used in information retrieval due to its efficiency in solving the problems of polysemy and synonymy. However, LSI is notably a computationally intensive process because of the computing complexities of singular value decomposition and filtering...

Integration of link and semantic relations for information recommendation See

Information services on the Internet are being used as an important tool to facilitate discovery of the information that is of user interests. Many approaches have been proposed to discover the information on the Internet, while the search engines are the most common ones. How...

Taking pride from cultures of shame: The influence of cultural values on the development of internalised attitudes towards same-sex attraction in gay men across cultures See

Theoretically, internalised homonegativity (IH-) has been studied by mainstream and lesbian, gay, bisexual, trans and queer (LGBTQ) psychology as an ill-defined individual difference investigated over several paradigms. Historically, psychology’s heterosexist bias has focussed on IH- as a path...

A novel kernel for text classification based on semantic and statistical information See

In text categorization, a document is usually represented by a vector space model which can accomplish the classification task, but the model cannot deal with Chinese synonyms and polysemy phenomenon. This paper presents a novel approach which takes into account both the semantic a...

Deep Convolution and Correlated Manifold Embedded Distribution Alignment for Forest Fire Smoke Prediction See

This paper proposes the deep convolution and correlated manifold em-bedded distribution alignment (DC-CMEDA) model, which is able to realize the transfer learning classification between and among various small datasets, and greatly shorten the training time. First, pre-trained Resnet50 network is ...

PointVotes: A Deep Learning Point Cloud Model for Tire Bubble Defect Detection See

In order to eliminate the hidden dangers caused by tire bubble defects, considering that the two-dimensional technology is sensitive to light, the 3D point cloud technology is used to obtain the tire surface morphology. This paper proposes a 3D point cloud network model named ...

UK Immigration After Brexit See

It has been more than six years since the United Kingdom European Union membership referendum, and more than two years since the signing of the EU–UK Trade and Cooperation Agreement. Still, it is not entirely clear how Brexit affected the UK regarding many relevant socio-econo...

The impact of Covid-19 on the Italian community in the UK See

We investigate the impact of the first wave of the Covid-19 pandemic - from March to June 2020 - on the Italian community in the UK by gathering new evidence from a large online survey and a set of in-depth interviews. The survey and interviews were conducted by...

Toward a holistic understanding of sustainability in corporations: Resource-based view of sustainable supply chain management See

Purpose: While the three interconnected aspects of the triple bottom line -environmental, social and economic sustainability- are well-established, these aspects have insufficiently been addressed together in the supply chain management literature. Thus, the purpose of this paper is to exa...